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About this paper
Anwen Hu, Shizhe Chen, Qin Jin
A new task called Question-controlled Text-aware Image Captioning (Qc-TextCap) is introduced to generate personalized image captions that integrate scene text based on user questions. This allows for focused information delivery, addressing the challenge of overwhelming descriptions in existing text-aware captioning systems.
Key insights
- Incorporating geometry-aware self-attention within the visual encoder is crucial for accurately capturing spatial relationships between scene text and objects.
- A question-guided encoding mechanism effectively enables the model to focus on relevant text and visual elements pertinent to a user's specific query.
- New datasets for question-controlled text-aware captioning can be efficiently constructed through an automatic process leveraging existing text-aware captioning datasets.
Summary by alphaXiv.
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